MS3-01A Climate modeling through scientific computing and machine learning

Thu, 27/04/2023
13:45 - 15:45
Auditorium E
Chaired by:
Dr. Mauro Perego (Sandia National Labratories)

Contributions in this session:

  • CLDERA: Developing a Novel Foundational Approach for Attributing Localized Source Forcings in the Climate
    D. Bull, K. Peterson, I. Tezaur*, L. Shand, L. Swiler
  • Facilitating atmospheric source inversion via deep operator network surrogates
    M. Gulian*, J. Hart, I. Manickam, L. Swiler
  • Multiscale urban climate model coupling mesoscale meteorological model with all-physics model at urban microscale
    D. Strebel, A. Kubilay, J. Carmeliet, D. Derome*
  • GungHo: A Mixed Finite-Element, Finite-Volume, Semi-Implicit Atmospheric Dynamical Core
    J. Kent*
  • Application of the Eulerian-Lagrangian Point-Mass Particle Method to Localized Chemical and Aerosol Processes in the Atmosphere
    E. Wenzel*, B. Houchens